Package org.apache.mahout.math.neighborhood

Examples of org.apache.mahout.math.neighborhood.Searcher.addAll()


   * @return the confusion matrix
   */
  public static Matrix getConfusionMatrix(List<? extends Vector> rowCentroids, List<? extends  Vector> columnCentroids,
                                          Iterable<? extends Vector> datapoints, DistanceMeasure distanceMeasure) {
    Searcher rowSearcher = new BruteSearch(distanceMeasure);
    rowSearcher.addAll(rowCentroids);
    Searcher columnSearcher = new BruteSearch(distanceMeasure);
    columnSearcher.addAll(columnCentroids);

    int numRows = rowCentroids.size();
    int numCols = columnCentroids.size();
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  public static Matrix getConfusionMatrix(List<? extends Vector> rowCentroids, List<? extends  Vector> columnCentroids,
                                          Iterable<? extends Vector> datapoints, DistanceMeasure distanceMeasure) {
    Searcher rowSearcher = new BruteSearch(distanceMeasure);
    rowSearcher.addAll(rowCentroids);
    Searcher columnSearcher = new BruteSearch(distanceMeasure);
    columnSearcher.addAll(columnCentroids);

    int numRows = rowCentroids.size();
    int numCols = columnCentroids.size();
    Matrix confusionMatrix = new DenseMatrix(numRows, numCols);
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   * @return the confusion matrix
   */
  public static Matrix getConfusionMatrix(List<? extends Vector> rowCentroids, List<? extends  Vector> columnCentroids,
                                          Iterable<? extends Vector> datapoints, DistanceMeasure distanceMeasure) {
    Searcher rowSearcher = new BruteSearch(distanceMeasure);
    rowSearcher.addAll(rowCentroids);
    Searcher columnSearcher = new BruteSearch(distanceMeasure);
    columnSearcher.addAll(columnCentroids);

    int numRows = rowCentroids.size();
    int numCols = columnCentroids.size();
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  public static Matrix getConfusionMatrix(List<? extends Vector> rowCentroids, List<? extends  Vector> columnCentroids,
                                          Iterable<? extends Vector> datapoints, DistanceMeasure distanceMeasure) {
    Searcher rowSearcher = new BruteSearch(distanceMeasure);
    rowSearcher.addAll(rowCentroids);
    Searcher columnSearcher = new BruteSearch(distanceMeasure);
    columnSearcher.addAll(columnCentroids);

    int numRows = rowCentroids.size();
    int numCols = columnCentroids.size();
    Matrix confusionMatrix = new DenseMatrix(numRows, numCols);
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   * @return the confusion matrix
   */
  public static Matrix getConfusionMatrix(List<? extends Vector> rowCentroids, List<? extends  Vector> columnCentroids,
                                          Iterable<? extends Vector> datapoints, DistanceMeasure distanceMeasure) {
    Searcher rowSearcher = new BruteSearch(distanceMeasure);
    rowSearcher.addAll(rowCentroids);
    Searcher columnSearcher = new BruteSearch(distanceMeasure);
    columnSearcher.addAll(columnCentroids);

    int numRows = rowCentroids.size();
    int numCols = columnCentroids.size();
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  public static Matrix getConfusionMatrix(List<? extends Vector> rowCentroids, List<? extends  Vector> columnCentroids,
                                          Iterable<? extends Vector> datapoints, DistanceMeasure distanceMeasure) {
    Searcher rowSearcher = new BruteSearch(distanceMeasure);
    rowSearcher.addAll(rowCentroids);
    Searcher columnSearcher = new BruteSearch(distanceMeasure);
    columnSearcher.addAll(columnCentroids);

    int numRows = rowCentroids.size();
    int numCols = columnCentroids.size();
    Matrix confusionMatrix = new DenseMatrix(numRows, numCols);
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